Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment

Parallel deep learning architectures like fine-tuned BERT and MT-DNN, have quickly become the state of the art, bypassing previous deep and shallow learning methods by a large margin. More recently, pre-trained models from large related datasets have been able to perform well on many downstream task...

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Bibliographische Detailangaben

Hauptverfasser:	Pugaliya, Hemant, Saxena, Karan, Garg, Shefali, Shalini, Sheetal, Gupta, Prashant, Nyberg, Eric, Mitamura, Teruko
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Information Retrieval Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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